A New Artificial Neural Network Ensemble Based on Feature Selection and Class Recoding

NEURAL COMPUTING & APPLICATIONS - 10/2010

https://doi.org/10.1007/s00521-010-0458-5 Ver en origen

• EISSN 1433-3058
• ISSN 0941-0643

• UC3M

Combining additive input noise annealing and pattern transformations for improved handwritten character recognition

EXPERT SYSTEMS WITH APPLICATIONS (p. 8180-8188) - 12/2014

https://doi.org/10.1016/j.eswa.2014.07.016 Ver en origen

• EISSN 1873-6793
• ISSN 0957-4174

• UC3M

Generating ensembles of heterogeneous classifiers using Stacked Generalization

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery (p. 21-34) - 2/2015

https://doi.org/10.1002/widm.1143 Ver en origen

• EISSN 1942-4795
• ISSN 1942-4787

• UC3M

An ensemble approach of dual base learners for multi-class classification problems

Information Fusion (p. 122-136) - 7/2015

10.1016/j.inffus.2014.09.002 Ver en origen

• EISSN 1872-6305
• ISSN 1566-2535

• UC3M

CCE: An ensemble architecture based on coupled ANN for solving multiclass problems

Information Fusion (p. 132-152) - 6/2020

https://doi.org/10.1016/j.inffus.2019.12.015 Ver en origen

• EISSN 1872-6305
• ISSN 1566-2535

• UC3M

Lane following learning based on semantic segmentation with chroma key and image superposition

Electronics (p. 3113-3137) - 12/2021

10.3390/electronics10243113 Ver en origen

• EISSN 2079-9292

• UC3M

Explaining Deep Learning-Based Driver Models

Applied Sciences (p. 1-28) - 4/2021

10.3390/app11083321 Ver en origen

• ISSN 2076-3417

• UC3M

Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems

Electronics (p. 1-21) - 6/2021

10.3390/electronics10121480 Ver en origen

• EISSN 2079-9292

• UC3M

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles

APPLIED SOFT COMPUTING (p. 1-17) - 7/2021

10.1016/j.asoc.2021.107689 Ver en origen

• EISSN 1872-9681
• ISSN 1568-4946

• UC3M

SYnthetic Samples GENerator (SYSGEN): an approach to increase the size of incidence samples in coffee leaf rust modelling

Evolving Systems (p. 1-12) - 8/2021

10.1007/s12530-021-09395-0 Ver en origen

• EISSN 1868-6486
• ISSN 1868-6478

• UC3M

Advances in Physical Agents Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain

2018

https://doi.org/10.1007/978-3-319-99885-5 Ver en origen

• ISBN 978-3-319-99885-5
• ISSN 2194-5357

• UC3M

Ensemble of ANN for Traffic Sign Recognition [Chapter 85]. In: Encyclopedia of Artificial Intelligence

Encyclopedia of Artificial Intelligence (p. 554-560) - 1/2009

Editor: IGI GLOBAL

10.4018/978-1-59904-849-9.ch085 Ver en origen

• ISBN 978-1-59904-849-9

• UC3M

Input Transformation and Output Combination for Improved Handwritten Digit Recognition. In: Artificial Neural Networks : Methods and Applications in Bio-/Neuroinformatics

Artificial Neural Networks : Methods and Applications in Bio-/Neuroinformatics (p. 435-443) - 12/2015

Editor: SPRINGER

https://doi.org/10.1007/978-3-319-09903-3_21 Ver en origen

• ISBN 978-3-319-09902-6

• UC3M

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging

23rd International Conference on Artificial Neural Networks - ICANN 2013 (p. 335-342) - 2013

Editor: SPRINGER

• ISBN 978-3-642-40727-7

• UC3M

CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners

9th International Conference, HAIS 2014 (p. 630-641) - 2014

Editor: SPRINGER

https://doi.org/10.1007/978-3-319-07617-1_55 Ver en origen

• ISBN 978-3-319-07616-4

• UC3M

Forecasting Time Series by an Ensemble of Artificial Neural Networks based on transforming the Time Series

SMC 2016 IEEE International Conference on Systems, Man, and Cybernetics (p. 1769-4774) - 2016

Editor: IEEE Computer Society.

https://doi.org/10.1109/smc.2016.7844984 Ver en origen

• ISBN 978-1-5090-1897-0

• UC3M

Time Series Forecasting applying Data Transformation and Neural Networks Ensemble

International work-conference on Time Series, itise 2017 (p. 820-828) - 2017

Editor: GODEL IMPRESIONES DIGITALES

• ISBN 978-84-17293-01-7

• UC3M

Forecasting Univariate Time Series by<br/>Input Transformation and Selection of the Suitable Model

14th International Work-Conference on Artificial Neural Networks, IWANN 2017 (p. 210-221) - 2017

Editor: SPRINGER

https://doi.org/10.1007/978-3-319-59147-6_19 Ver en origen

• ISBN 978-3-319-59146-9

• UC3M

Measuring Diversity and Accuracy in ANN Ensembles

Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018<br/> (p. 108-117) - 2018

Editor: SPRINGER

https://doi.org/10.1007/978-3-030-00374-6_11 Ver en origen

• ISBN 978-3-030-00373-9

• UC3M

Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (p. 354-357) - 2019

Editor: IEEE Computer Society.

10.1109/embc.2019.8857149 Ver en origen

• ISBN 978-1-5386-1311-5

• UC3M

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners

IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2020) (p. 1-8) - 2020

Editor: IEEE Computer Society.

10.1109/eais48028.2020.9122754 Ver en origen

• ISBN 978-1-7281-4384-2

• UC3M

Fuzzy Alarm System based on Human-centered Approach

6th International Conference on Vehicle Technology and Intelligent Transport Systems (p. 448-455) - 2020

Editor: SciTePress

10.5220/0009348704480455 Ver en origen

• ISBN 978-989-758-419-0

• UC3M

Sistema de detección de fatiga basado en deep learning y lógica difusa

XIX Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 20/21 (p. 875-880) - 2021

Editor: caepia

• ISBN 978-84-09-30514-8

• UC3M

CCG06-UC3M/TIC-0766  - MCTIS- Multiples clasificadores en el tratamiento inteligente de señales de tráfico

Ejecución: 01-01-2007 - 31-12-2007

Tipo: Regional

Financiado por: COMUNIDAD DE MADRID-UC3M

• UC3M

TRA2007-67374-C02-02 - Sistema de detección de peatones, ciclistas y motoristas. - Fusión sensorial.

Ejecución: 01-10-2007 - 30-09-2010

Tipo: Nacional

Financiado por: MINISTERIO DE EDUCACION Y CIENCIA SECRETARIA DE ESTADO DE EDUCACION Y UNIV.

• UC3M

PS09/02683 - TRAINUTRI: TRAINing and NUTRItion senior social platform

Ejecución: 01-01-2010 - 30-04-2013

Financiado por: INSTITUTO DE SALUD CARLOS III

• UC3M

CCG10-UC3M/DPI-5535 - Detección de Objetos Móviles en Entornos Dinámicos mediante la Fusión de Datos aplicando Conjunto de Clasificadores

Ejecución: 01-01-2011 - 31-12-2011

Tipo: Regional

Financiado por: COMUNIDAD DE MADRID-UC3M

• UC3M

TRA2010-21371-C03-03 - Sistema inteligente de ayuda a la conduccion basado en agentes

Ejecución: 01-01-2011 - 31-12-2011

Tipo: Nacional

Financiado por: MINISTERIO DE CIENCIA E INNOVACION

• UC3M

TRA2011-29454-C03-03 - Sistema inteligente basado en agentes de soporte al conductor

Ejecución: 01-01-2012 - 30-06-2015

Tipo: Nacional

Financiado por: MINISTERIO DE CIENCIA E INNOVACION

• UC3M

Modelo de ajustes de ventas

Ejecución: 25-07-2014 - 22-09-2014

Tipo: Regional

Financiado por: MRM WORLDWIDE SPAIN S.A.

• UC3M

S2013/MIT-3024 - TOPUS. Topografía por emisión de positrones y ultrasonidos

Ejecución: 01-10-2014 - 31-12-2018

Tipo: Regional

Financiado por: CAM. CONSEJERÍA DE EDUCACIÓN E INVESTIGACION

• UC3M

TRA2015-63708-R - Sistema de ayuda para una conducción urbana más segura

Ejecución: 01-01-2016 - 31-12-2019

Tipo: Nacional

Financiado por: MINISTERIO DE ASUNTOS ECONOMICOS Y TRANSFORMACION DIGITAL

• UC3M

UIA04-212 - ENERGY POVERTY INTELLIGENCE UNIT

Ejecución: 01-09-2019 - 31-08-2023

Tipo: Internacional

Financiado por: EUROPEAN COMMISSION RESEARCH EXECUTIVE AGENCY

Importe financiado: 408807,84 Euros.

• iMarina
• UC3M
• UC3M

Diseño analisis y evaluacion de conjuntos de clasificadores basados en redes de neuronas

Fecha de defensa: 27-09-2012

• UC3M